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ICPR
2008
IEEE
14 years 10 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi
ACL
2003
13 years 10 months ago
Fast Methods for Kernel-Based Text Analysis
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Taku Kudo, Yuji Matsumoto
DPHOTO
2010
208views Hardware» more  DPHOTO 2010»
13 years 10 months ago
A signature analysis based method for elliptical shape
The high level context image analysis regards many fields as face recognition, smile detection, automatic red eye removal, iris recognition, fingerprint verification, etc. Techniq...
Ivana Guarneri, Mirko Guarnera, Giuseppe Messina, ...
NPAR
2010
ACM
14 years 1 months ago
Detail-preserving paint modeling for 3D brushes
Recent years have witnessed significant advances in 3D brush modeling and simulation in digital paint tools. Compared with traditional 2D brushes, a 3D brush can be both more intu...
Nelson Siu-Hang Chu, William Baxter, Li-Yi Wei, Na...
IJCAI
1989
13 years 10 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler